class_docstr: Bridge class to connect langchain.embeddings module to mindsDB
class_docstr_tok: ["Bridge","class","to","connect","langchain.embeddings","module","to","mindsDB"]
code: def finetune(
      self,
      df: Union[DataFrame, None] = None,
      args: Union[Dict, None] = None,
  ) -> None:
      raise NotImplementedError(
          "Finetuning is not supported for langchain embeddings"
      )
  
file_path: mindsdb/mindsdb/integrations/handlers/langchain_embedding_handler/langchain_embedding_handler.py
imports: import copy
  import importlib
  from typing import Dict, Union
  import pandas
  from langchain.embeddings.base import Embeddings
  from pandas import DataFrame
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
label_desc: Use image node_id 5 for calling the LangchainEmbeddingHandler obj's underlying member method code with example usage: obj.finetune(df, args) without return types